AppKit

Build Databricks Apps faster with our brand-new Node.js + React SDK. Built for humans and AI.

Warning

PREVIEW - NOT FOR PRODUCTION USE

This SDK is in preview and is subject to change without notice.

• ❌ Do NOT use in production environments
• ⚠️ Breaking changes may occur at any time
• 🔬 APIs are experimental and unstable
• 📝 Use for development and testing only

Introduction

AppKit is a TypeScript SDK for building production-ready Databricks applications with a plugin-based architecture. It provides opinionated defaults, built-in observability, and seamless integration with Databricks services.

AppKit simplifies building data applications on Databricks by providing:

• Plugin architecture: Modular design with built-in server and analytics plugins
• Type safety: End-to-end TypeScript with automatic query type generation
• Production-ready features: Built-in caching, telemetry, retry logic, and error handling
• Developer experience: Remote hot reload, file-based queries, optimized for AI-assisted development
• Databricks native: Seamless integration with SQL Warehouses, Unity Catalog, and other workspace resources

Plugins

AppKit's power comes from its plugin system. Each plugin adds a focused capability to your app with minimal configuration.

Available now

• Analytics Plugin — Query your Lakehouse data directly from your app. Define SQL queries as files, execute them against Databricks SQL Warehouses, and get automatic caching, parameterization, and on-behalf-of user execution out of the box. Perfect for building apps that surface insights from your Lakehouse.

Coming soon

• Genie Plugin — Conversational AI interface powered by Databricks Genie
• Files Plugin — Browse, upload, and manage files in Unity Catalog Volumes
• Lakebase Plugin — OLTP database operations with automatic OAuth token management
• ...and this is just the beginning.

Missing a plugin? Open an issue and tell us what you need — community input directly shapes the roadmap.

Getting started

Follow the Getting Started guide to get started with AppKit.

🤖 For AI/code assistants, see the AI-assisted development guide.

Documentation

📖 For full AppKit documentation, visit the AppKit Documentation website.

Contributing

See CONTRIBUTING.md for development setup and contribution guidelines.